Hence, unless we have good estimation of the face's size, the cropping sphere method might result in an over/under cropping.
For this class of processes, it is essential to have good estimation of the very small difference between certain transfer functions, or, low gain direction.
This is advantageous because expected-value parameters such as SI, which correspond to the fitted value of the response variable at a particular age, generally have good estimation properties (Ratkowsky, 1990).
> -wrap-foot> The results of the simulation experiment described in Section IV suggest that the RMT method of dimension estimation has good accuracy in estimating the correct latent variable dimension when the magnitude of the latent effects is sufficiently large relative to other error components, superior to simpler methods based on AIC and BIC.
In addition, the proposed fundamental frequency estimation algorithm has good tracking capability and lower variance of frequency estimation error than that of the conventional cascade ANF method.
Recursive least squares (RLS) algorithm has been applied commonly in adaptive filtering and system identification, since it has good convergence and provides for small estimation error in stationary situations and under assumption that the underlying noise is normal [5 7].
Experimental results are given to show that the technique has good potential for vehicle slip and velocity estimation.
In the CLS approach, the variance estimation ignores the inner-class covariance of labeled data which has good discriminative ability.
We thus relied on self-report measurements, which require participants to have good memories and estimation skills, and may therefore result in measurement error, for example, because participants give social desirable answers or lack valid recall [ 108, 109].
